加权优选方法在信号分解中的应用与软件研制  

Application and Software Development of Weighted Optimization Method Used on Signal Decomposition

作　　者：王胜[1] 李磊 WANG Sheng;LI Lei(Huai’an Water Conservancy Surveying and Design Institute Co.,Ltd.,Huai’an 223005,China)

机构地区：[1]淮安市水利勘测设计研究院有限公司,江苏淮安223005

出　　处：《测绘地理信息》2020年第5期54-58,共5页Journal of Geomatics

基　　金：江苏省测绘地理信息科研项目(JSCHKY201920)。

摘　　要：应用EMD(empirical mode decomposition)分解信号的效果与包络拟合函数、端点延拓方法、IMF(intrinsic mode function)筛分准则有关,其中每种方法皆有多个选项,这些选项没有对错的区别,只有是否合适的区别,因此提出一种加权优选方法,能够通过ERE(energy relative error)等评价指标自主甄选出最适合目标处理信号的方法集。实验结果表明,相较于经验选择方法,该方法可以更大限度地还原信号原有的波形。最后将该方法基于Matlab GUI(graphical user interface)进行软件模块化设计与研制,是对GPS信号处理与挖掘方法的重要补充。The effect of empirical mode decomposition(EMD) applied on signal decomposition is related to envelope fitting function, endpoint extending method and intrinsic mode function(IMF) screening criterion. And each method has multiple options. The only difference among them is whether it is applicable. Therefore the weighted optimization method is proposed, which can use some evaluating indicators, such as energy relative error(ERE), to independently pick out the most suitable method set. Experimental results show that compared with the empirical selection method, this method can greatly restore the original waveform of the signal. Finally modularization design and development of software are completed based on Matlab GUI(graphical user interface). The method serves as the important supplement for GPS signal processing and mining methods.

关 键 词：经验模态分解 信号还原 组合优选 模拟信号 Matlab GUI(graphical user interface) 

分 类 号：P228[天文地球—大地测量学与测量工程] P207[天文地球—测绘科学与技术]